NAR Molecular Biology Database Collection entry number 1761
You, Leiming; Wu, Jiexin; Feng, Yuchao; Fu, Yonggui; Guo, Yanan; Long, Liyuan; Zhang, Hui; Tian, Peng; Chen, Liangfu; Li, Yuxing; Luan, Yijie; Huang, Guangrui; Chen, Chengyong; Huang, Shengfeng; Chen, Shangwu; Xu, Anlong
1State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Sun Yat-Sen University, Higher Education Mega Center, Guangzhou 510006, Peopleâ€™s Republic of China. 2School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing 100029, Peopleâ€™s Republic of China.
Increasing amounts of genes have been shown to utilize alternative polyadenylation (APA) 3'-processing sites depending on the cell and tissue type and/or physiological and pathological conditions at the time of processing, and the construction of genome-wide database regarding APA is urgently needed for better understanding poly(A) site selection and APA-directed gene expression regulation for a given biology. Here we present a web-accessible database, named APASdb (http://mosas.sysu.edu.cn/utr), which can visualize the precise map and usage quantification of different APA isoforms for all genes. The datasets are deeply profiled by the sequencing alternative polyadenylation sites (SAPAS) method capable of high-throughput sequencing 3'-ends of polyadenylated transcripts. Thus, APASdb details all the heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites, much better than the previous databases using conventional methods. Furthermore, APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads, making our database more useful. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.
We thank the members of our laboratories for discussion and data processing. This work was supported by the National Basic Research Program of China [973 Program, 2013CB917800 to A.X.; 2013CB835304, 2011CB946101 to S.C.].
Category: RNA sequence databases
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